publication . Article . 2014

multivariate data analysis and machine learning in alzheimer s disease with a focus on structural magnetic resonance imaging

Farshad Falahati; Eric Westman; Andrew Simmons;
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  • Published: 16 Jul 2014 Journal: Journal of Alzheimer's Disease, volume 41, pages 685-708 (issn: 1387-2877, eissn: 1875-8908, Copyright policy)
  • Publisher: IOS Press
Abstract
Machine learning algorithms and multivariate data analysis methods have been widely utilized in the field of Alzheimer's disease (AD) research in recent years. Advances in medical imaging and medical image analysis have provided a means to generate and extract valuable neuroimaging information. Automatic classification techniques provide tools to analyze this information and observe inherent disease-related patterns in the data. In particular, these classifiers have been used to discriminate AD patients from healthy control subjects and to predict conversion from mild cognitive impairment to AD. In this paper, recent studies are reviewed that have used machine l...
Subjects
free text keywords: Clinical Psychology, Geriatrics and Gerontology, Psychiatry and Mental health, General Medicine, Positron emission tomography, medicine.diagnostic_test, medicine, Artificial intelligence, business.industry, business, Medical imaging, Magnetic resonance imaging, Feature selection, Biomarker (medicine), Multivariate analysis, Alzheimer's disease, medicine.disease, Machine learning, computer.software_genre, computer, Psychology, Neuroimaging
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